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31 to 40 of 103 Results
Tabular Data - 8.9 MB - 6704 Variables, 707 Observations - UNF:6:mxsFjvOJBIhuUFMsnDF1qQ==
Data collected from individuals in the village who would have extensive information about village characteristics (village secretary, village treasurer, village committee member, etc). It can me merged with the Household sub datasets using the "Village" Variable.
Adobe PDF - 824.0 KB - MD5: 070e833f0db405c7297f1aec7bb42bf0
Codebook for FACT dataset : data collected from individuals in the village who would have extensive information about village characteristics (village secretary, village treasurer, village committee member, etc).
Adobe PDF - 219.1 KB - MD5: a6595464efb0a9149ed362a1701427d3
Codebook for MUNI dataset: data collected from a survey administered to village heads (or their equivalents) or someone who represents the village head.
Tabular Data - 2.0 MB - 869 Variables, 666 Observations - UNF:6:xVAxmmaOlmI5b8LuFrJVWg==
Data collected from a survey administered to village heads (or their equivalents) or someone who represents the village head. It can me merged with the Household sub datasets using the "Village" Variable.
Nov 29, 2024
Ellen Lust; Boniface Dulani; Kristen Kao; Adam Harris; Karen Ferree; Cecilia Ahsan Jansson; Erica Ann Metheney, 2024, "GLD-IPOR Malawi Covid Panel Survey", https://doi.org/10.7910/DVN/MOOI8X, Harvard Dataverse, V2, UNF:6:1TbQJRphlw1scMOz4Wc2JA== [fileUNF]
In March 2020, Zambia and Malawi reported their first cases of Covid-19, with both governments restricting non-essential travel, banning large public gatherings, and establishing emergency committees to spearhead efforts to contain the pandemic at a national level. GLD implemented a study in 2020 in both Malawi and Zambia to generate a better under...
R Syntax - 7.2 KB - MD5: 7191d24622b1abf0282335592fbec89d
R script to replicate Table 2. Respondent Characteristics by Survey Round and Table 3. Proportion of survey respondents across rounds in the Data in Brief article
Tabular Data - 5.3 MB - 101 Variables, 19202 Observations - UNF:6:2BqU+quK6lveBMvPtNKpow==
Dataset used for all analyses.
PNG Image - 187.6 KB - MD5: cc090d79b2ee0efec2fedeca0b95574f
Power analysis graph for the eliminated effect.
Jul 22, 2024
Erica Ann Metheney; Lauren Yehle, 2024, "Replication Data for: Exploring Generative AI's Role in Preparing Surveys for Translation", https://doi.org/10.7910/DVN/HFT8TD, Harvard Dataverse, V1
This dataset contains the data associated with the publication "Exploring Generative AI's Role in Preparing Surveys for Translation". This includes the full set of questions used in the experiments. The full raw output of the GPT models and the qualitative coded files of the GPT data.
R Syntax - 1.9 KB - MD5: 424a678279c4fb93d2aa92639b127ec3
Interactive R script that generates a CSV file summarizing the ChatGPT comments about the survey questions. No knowledge of R is required to run the script. R and RStudio can easily be downloaded for free online.
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